{"id":"W2753184672","doi":"10.1038/549023a","title":"Stop this waste of people, animals and money","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":279,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Ottawa; Ottawa Hospital","funders":"","keywords":"Business; Environmental science; Natural resource economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.000544147,0.00005739591,0.0002056638,0.00004489832,0.00009218403,0.00001198715,0.00009267394,0.0005419569,0.0001536983],"category_scores_gemma":[0.03073279,0.00003866863,0.00002554815,0.00003905603,0.00008818039,0.00004734173,0.00005400447,0.001393528,0.00001012307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001920979,"about_ca_system_score_gemma":0.0006832066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255478,"about_ca_topic_score_gemma":0.00002045994,"domain_scores_codex":[0.9990185,0.00001764931,0.00009990266,0.0001112559,0.0004245298,0.00032813],"domain_scores_gemma":[0.997773,0.0000826349,0.00005647283,0.0003193676,0.0001169596,0.001651544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001580214,0.0002497778,0.1136248,0.003261206,0.0001021538,0.0003114805,0.002424954,5.176011e-8,0.04788155,0.002345821,0.6118824,0.2163355],"study_design_scores_gemma":[0.003784277,0.001144647,0.7449723,0.000668329,0.00004832471,0.00007331496,0.000242903,0.0001354807,0.0137988,0.0002817048,0.2347245,0.0001253392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293378,0.003625502,0.000002468205,0.04767216,0.0001021356,0.0002333586,0.00001322397,0.00001077597,0.01900257],"genre_scores_gemma":[0.9931774,0.0008354435,0.0001712759,0.003473538,0.0001822405,0.000002401405,0.000002562894,0.000006749395,0.002148365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6313475,"threshold_uncertainty_score":0.9774318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05879269652852195,"score_gpt":0.4362655842041861,"score_spread":0.3774728876756641,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}